Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells4
Missing cells (%)3.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory46.7 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description대전광역시와 대전관광공사에서 추진하고 있는 대전의 의료관광사업 관련하여 대전의 외국인환자 의료기관으로 등록된 의료관광이 가능한 병원 목록입니다.
URLhttps://www.data.go.kr/data/15020837/fileData.do

Alerts

유치대상국가 has 4 (17.4%) missing valuesMissing
순번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:27:56.783000
Analysis finished2023-12-12 15:27:57.234498
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:27:57.315074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-13T00:27:57.452583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

의료기관명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T00:27:57.676934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.6521739
Min length4

Characters and Unicode

Total characters153
Distinct characters69
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row충남대병원
2nd row건양대병원
3rd row대청병원
4th row대전선병원
5th row유성선병원
ValueCountFrequency (%)
성형외과 2
 
6.7%
충남대병원 1
 
3.3%
온누리수의원 1
 
3.3%
필한방병원 1
 
3.3%
워크런병원 1
 
3.3%
선치과병원 1
 
3.3%
바른생각병원 1
 
3.3%
더웰피부과 1
 
3.3%
박성일한의원 1
 
3.3%
동경한의원 1
 
3.3%
Other values (19) 19
63.3%
2023-12-13T00:27:58.040355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 19
 
12.4%
병 12
 
7.8%
과 10
 
6.5%
대 8
 
5.2%
7
 
4.6%
의 7
 
4.6%
성 4
 
2.6%
전 4
 
2.6%
이 4
 
2.6%
한 4
 
2.6%
Other values (59) 74
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
95.4%
Space Separator 7
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 19
 
13.0%
병 12
 
8.2%
과 10
 
6.8%
대 8
 
5.5%
의 7
 
4.8%
성 4
 
2.7%
전 4
 
2.7%
이 4
 
2.7%
한 4
 
2.7%
치 4
 
2.7%
Other values (58) 70
47.9%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
95.4%
Common 7
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 19
 
13.0%
병 12
 
8.2%
과 10
 
6.8%
대 8
 
5.5%
의 7
 
4.8%
성 4
 
2.7%
전 4
 
2.7%
이 4
 
2.7%
한 4
 
2.7%
치 4
 
2.7%
Other values (58) 70
47.9%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
95.4%
ASCII 7
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 19
 
13.0%
병 12
 
8.2%
과 10
 
6.8%
대 8
 
5.5%
의 7
 
4.8%
성 4
 
2.7%
전 4
 
2.7%
이 4
 
2.7%
한 4
 
2.7%
치 4
 
2.7%
Other values (58) 70
47.9%
ASCII
ValueCountFrequency (%)
7
100.0%

기관구분
Categorical

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
종합병원
6 
의원
6 
병원
3 
한의원
3 
치과의원
2 
Other values (3)
3 

Length

Max length7
Median length4
Mean length3.2173913
Min length2

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row상급 종합병원
2nd row종합병원
3rd row종합병원
4th row종합병원
5th row종합병원

Common Values

ValueCountFrequency (%)
종합병원 6
26.1%
의원 6
26.1%
병원 3
13.0%
한의원 3
13.0%
치과의원 2
 
8.7%
상급 종합병원 1
 
4.3%
치과병원 1
 
4.3%
한방병원 1
 
4.3%

Length

2023-12-13T00:27:58.194614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:58.320495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합병원 7
29.2%
의원 6
25.0%
병원 3
12.5%
한의원 3
12.5%
치과의원 2
 
8.3%
상급 1
 
4.2%
치과병원 1
 
4.2%
한방병원 1
 
4.2%

소재지
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
서구
13 
중구
4 
유성구
3 
대덕구
2 
동구
 
1

Length

Max length3
Median length2
Mean length2.2173913
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row중구
2nd row서구
3rd row서구
4th row중구
5th row유성구

Common Values

ValueCountFrequency (%)
서구 13
56.5%
중구 4
 
17.4%
유성구 3
 
13.0%
대덕구 2
 
8.7%
동구 1
 
4.3%

Length

2023-12-13T00:27:58.461764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:58.570830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 13
56.5%
중구 4
 
17.4%
유성구 3
 
13.0%
대덕구 2
 
8.7%
동구 1
 
4.3%

유치대상국가
Text

MISSING 

Distinct12
Distinct (%)63.2%
Missing4
Missing (%)17.4%
Memory size316.0 B
2023-12-13T00:27:58.727749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length10.368421
Min length2

Characters and Unicode

Total characters197
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)47.4%

Sample

1st row미국,일본,중국,러시아,중동,몽골,베트남
2nd row일본, 중국, 몽골, 동남아
3rd row미국,일본,중국
4th row미국,일본,중국
5th row중국, 기타
ValueCountFrequency (%)
미국,일본,중국 6
25.0%
중국 4
16.7%
미국,일본,중국,러시아,중동,몽골,베트남 2
 
8.3%
기타 2
 
8.3%
일본 1
 
4.2%
몽골 1
 
4.2%
동남아 1
 
4.2%
미국,중국,러시아,독립국가연합 1
 
4.2%
없음 1
 
4.2%
일본,중국 1
 
4.2%
Other values (4) 4
16.7%
2023-12-13T00:27:59.113492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 46
23.4%
국 29
14.7%
중 20
10.2%
일 12
 
6.1%
본 12
 
6.1%
미 10
 
5.1%
아 7
 
3.6%
남 6
 
3.0%
러 6
 
3.0%
시 6
 
3.0%
Other values (15) 43
21.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
74.1%
Other Punctuation 46
 
23.4%
Space Separator 5
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 29
19.9%
중 20
13.7%
일 12
 
8.2%
본 12
 
8.2%
미 10
 
6.8%
아 7
 
4.8%
남 6
 
4.1%
러 6
 
4.1%
시 6
 
4.1%
몽 6
 
4.1%
Other values (13) 32
21.9%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
74.1%
Common 51
 
25.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 29
19.9%
중 20
13.7%
일 12
 
8.2%
본 12
 
8.2%
미 10
 
6.8%
아 7
 
4.8%
남 6
 
4.1%
러 6
 
4.1%
시 6
 
4.1%
몽 6
 
4.1%
Other values (13) 32
21.9%
Common
ValueCountFrequency (%)
, 46
90.2%
5
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
74.1%
ASCII 51
 
25.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 46
90.2%
5
 
9.8%
Hangul
ValueCountFrequency (%)
국 29
19.9%
중 20
13.7%
일 12
 
8.2%
본 12
 
8.2%
미 10
 
6.8%
아 7
 
4.8%
남 6
 
4.1%
러 6
 
4.1%
시 6
 
4.1%
몽 6
 
4.1%
Other values (13) 32
21.9%

Interactions

2023-12-13T00:27:57.007413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:27:59.263032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명기관구분소재지유치대상국가
순번1.0001.0000.3020.0000.615
의료기관명1.0001.0001.0001.0001.000
기관구분0.3021.0001.0000.5050.000
소재지0.0001.0000.5051.0000.184
유치대상국가0.6151.0000.0000.1841.000
2023-12-13T00:27:59.382420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관구분소재지
기관구분1.0000.286
소재지0.2861.000
2023-12-13T00:27:59.474844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기관구분소재지
순번1.0000.2630.000
기관구분0.2631.0000.286
소재지0.0000.2861.000

Missing values

2023-12-13T00:27:57.102986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:27:57.194668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번의료기관명기관구분소재지유치대상국가
01충남대병원상급 종합병원중구미국,일본,중국,러시아,중동,몽골,베트남
12건양대병원종합병원서구일본, 중국, 몽골, 동남아
23대청병원종합병원서구<NA>
34대전선병원종합병원중구미국,일본,중국
45유성선병원종합병원유성구미국,일본,중국
56대전을지대학교병원종합병원서구<NA>
67대전 웰니스병원병원대덕구중국, 기타
78보다 안과의원서구미국,중국,러시아,독립국가연합
89손정형외과의원의원중구없음
910오라클 피부과 성형외과 대전둔산점의원서구일본,중국
순번의료기관명기관구분소재지유치대상국가
1314램브란트 치과의원치과의원서구미국,일본,중국
1415에이케이플란트치과의원치과의원동구중국
1516동경한의원한의원서구미국,일본,중국
1617박성일한의원한의원서구중국, 기타
1718더웰피부과의원유성구중국,몽골,베트남
1819바른생각병원병원서구일본,중국,러시아,몽골,베트남,기타
1920선치과병원종합병원중구미국,중국,러시아,몽골
2021워크런병원병원유성구미국,일본,중국,러시아,중동,몽골,베트남
2122필한방병원한방병원서구<NA>
2223허혁한의원한의원서구일본,중국,러시아,베트남